Evidence map›Paper›PMID 32617197›Full record

ArticleIEEE journal of translational engineering in health and medicine2020

Teleoperation of Collaborative Robot for Remote Dementia Care in Home Environments.

Honghao Lv, Geng Yang, Huiying Zhou, Xiaoyan Huang, Huayong Yang, Zhibo Pang

Open access · goldAbstract read
In one paragraph

Article in IEEE journal of translational engineering in health and medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
6.1field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 61 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Body Extension by Using Two Mobile Manipulators.Cyborg and bionic systems (Washington, D.C.) · 2023
    Article
  7. Article
  8. Article
  9. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Honghao LvState Key Laboratory of Fluid Power and Mechatronic Systems, School of Mechanical EngineeringZhejiang UniversityHangzhou310027China.
Geng YangState Key Laboratory of Fluid Power and Mechatronic Systems, School of Mechanical EngineeringZhejiang UniversityHangzhou310027China.
Huiying ZhouState Key Laboratory of Fluid Power and Mechatronic Systems, School of Mechanical EngineeringZhejiang UniversityHangzhou310027China.
Xiaoyan HuangCollege of Electrical EngineeringZhejiang UniversityHangzhou310027China.
Huayong YangState Key Laboratory of Fluid Power and Mechatronic Systems, School of Mechanical EngineeringZhejiang UniversityHangzhou310027China.
Zhibo PangABB Corporate Research72178VästeråsSweden.
Zhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As a senile chronic, progressive and currently incurable disease, dementia has an enormous impact on society and life quality of the elderly. The development of teleoperation technology has changed the traditional way of care delivery and brought a variety of novel applications for dementia care. In this paper, a telerobotic system is presented which gives the caregivers the capability of assisting dementia elderly remotely. The proposed system is composed of a dual-arm collaborative robot (YuMi) and a wearable motion capture device. The communication architecture is achieved by the robot operation system (ROS). The position-orientation data of the operator's hand are obtained and used to control the YuMi robot. Besides, a path-constrained mapping method is designed for motion trajectory tracking between the robot and the operator in the progress of teleoperation. Meanwhile, corresponding experiments are conducted to verify the performance of the trajectory tracking using the path-constrained mapping method. Results show that the position tracking deviation between the trajectory of the operator and the robot measured by dynamic time warping distance is 1.05 mm at the sampling frequency of 7.5 Hz. Moreover, the practicability of the proposed system was verified by teleoperating the YuMi robot to pick up a medicine bottle and further demonstrated by assisting an elderly woman in picking up a cup remotely. The proposed telerobotic system has potential utility for improving the life quality of dementia elderly and the care effect of their caregivers.

Indexed as

Assistive robotmotion captureremote dementia careteleoperationtelerobotic system

Identifiers

PMID32617197
PMCPMC7326153
OpenAlexW3035529406

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.